Citation

Rustamov, Jaloliddin and Rustamov, Zahiriddin and Mohamad, Mohd Saberi and Zaki, Nazar and Al Tenaiji, Amal and Al Harbi, Mariam and Al Jasmi, Fatma (2024) An expert rule-based approach for identifying infantile-onset Pompe disease patients using retrospective electronic health records. Scientific Reports, 14 (1). ISSN 2045-2322

Text An expert rule-based approach for identifying infantile-onset Pompe disease patients using retrospective electronic health records.pdf - Published Version Restricted to Repository staff only Download (4MB)

Abstract

Pompe disease (OMIM #232300), a rare genetic disorder, leads to glycogen buildup in the body due to an enzyme defciency, particularly harming the heart and muscles. Infantile-onset Pompe disease (IOPD) requires urgent treatment to prevent mortality, but the unavailability of these methods often delays diagnosis. Our study aims to streamline IOPD diagnosis in the UAE using electronic health records (EHRs) for faster, more accurate detection and timely treatment initiation. This study utilized electronic health records from the Abu Dhabi Healthcare Company (SEHA) healthcare network in the UAE to develop an expert rule-based screening approach operationalized through a dashboard. The study encompassed six diagnosed IOPD patients and screened 93,365 subjects. Expert rules were formulated to identify potential high-risk IOPD patients based on their age, particular symptoms, and creatine kinase levels. The proposed approach was evaluated using accuracy, sensitivity, and specifcity. The proposed approach accurately identifed fve true positives, one false negative, and four false positive IOPD cases. The false negative case involved a patient with both Pompe disease and congenital heart disease. The focus on CHD led to the overlooking of Pompe disease, exacerbated by no measurement of creatine kinase. The false positive cases were diagnosed with Mitochondrial DNA depletion syndrome 12-A (SLC25A4 gene), Immunodefciency-71 (ARPC1B mutation), Niemann–Pick disease type C (NPC1 gene mutation leading to frameshift), and Group B Streptococcus meningitis. The proposed approach of integrating expert rules with a dashboard facilitated efcient data visualization and automated patient screening, which aids in the early detection of Pompe disease. Future studies are encouraged to investigate the application of machine learning methodologies to enhance further the precision and efciency of identifying patients with IOPD.

Item Type:	Article
Uncontrolled Keywords:	glycogen
Subjects:	Q Science > QP Physiology > QP(901)-(981) Experimental pharmacology
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	01 Oct 2024 01:10
Last Modified:	01 Oct 2024 01:10
URII:	http://shdl.mmu.edu.my/id/eprint/12996

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